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» A Robust Method for Estimating the Fundamental Matrix
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CVPR
1998
IEEE
14 years 9 months ago
Making Good Features Track Better
This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a si...
Tiziano Tommasini, Andrea Fusiello, Emanuele Trucc...
BMCBI
2007
107views more  BMCBI 2007»
13 years 7 months ago
A general and efficient method for estimating continuous IBD functions for use in genome scans for QTL
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models. A large number of algor...
Francois Besnier, Örjan Carlborg
CVPR
2000
IEEE
14 years 9 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
IWANN
2001
Springer
13 years 12 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
ICIAP
2003
ACM
14 years 7 months ago
A statistical rationalisation of Hartley's normalised eight-point algorithm
The eight-point algorithm of Hartley occupies an important place in computer vision, notably as a means of providing an initial value of the fundamental matrix for use in iterativ...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...